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All Journal Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan
Dyah Ayu Sulistyo Rini
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Earth & Planetary Sciences Education Engineering

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PEMETAAN SUHU PERMUKAAN LAUT (SPL) MENGGUNAKAN CITRA SATELIT ASTER DI PERAIRAN LAUT JAWA BAGIAN BARAT MADURA Dyah Ayu Sulistyo Rini; Zainul Hidayah; Firman Farid Muhsoni
Jurnal Kelautan Vol 3, No 2: Oktober (2010)
Publisher : Department of Marine Sciences, Trunojoyo University of Madura, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/jk.v3i2.918

Abstract

Oceanographical temperature in Java Sea is very important to be considered. This research was combines in-site observation technique, Geographical Information System (GLS) and remote sensing in order to get accurate, present and updateable data. The aim of this research is to determine the distribution of sea-surface temperature and accuration-test value in Java Sea especially on western coast of Madura using ASTER satellite imagery. This research were used software of ENVI 4.5, ILWIS 3.3, and ArcGIS 9.3 and also changed the radian value until °C. Result showed that using ASTER satellite imagery within band 10 range between 32 "C-35 "C. Band 11,between 24.9"C 25,2"C. Band 12 between 16,7"C to 17"C. Band while band 13 abd 14 between 30.7, band 28. Band 11 is more accurate compared to Band 10, 12, 13. 14, the RMS Error on band 11 showed lower value compared to the other band.Keywords: Sea-surface Temperature. ASTER satellite imagery. Java Sea, Western coast of Madura
Estimation of mangrove carbon using drone images Firman Farid Muhsoni; Indah Wahyuni Abida; Dyah Ayu Sulistyo Rini; Aditya Januar Putera
Depik Vol 10, No 1 (2021): April 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.731 KB) | DOI: 10.13170/depik.10.1.19313

Abstract

Mangrove has numerous ecological functions, such as a habitat for various biota, a place of care and rearing, with a microclimate regulator and spawning. This ecosystem can store the highest carbon compared to tropical, subtropical, and boreal forests. This research aimed to model the estimation of mangrove carbon stocks using drone images. The method used consists of several steps as follows: (1) Taking and analyzing drone images, (2) Identification and estimation of biomass with carbon stocks, (3) Modeling of mangrove carbon stock using drone and field data. The results of mangrove carbon estimation using logarithmic regression of drone images were the best, by the equation y = 0.0455ln (x) + 0.244. Therefore, the results showed that the R2 value was 0.7454, with the RMSE accuracy-test being 689.9 kg, at 35.4%.Keywords:DronesMangroveCarbon stock
Estimation of mangrove carbon using drone images Firman Farid Muhsoni; Indah Wahyuni Abida; Dyah Ayu Sulistyo Rini; Aditya Januar Putera
Depik Vol 10, No 1 (2021): April 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.10.1.19313

Abstract

Mangrove has numerous ecological functions, such as a habitat for various biota, a place of care and rearing, with a microclimate regulator and spawning. This ecosystem can store the highest carbon compared to tropical, subtropical, and boreal forests. This research aimed to model the estimation of mangrove carbon stocks using drone images. The method used consists of several steps as follows: (1) Taking and analyzing drone images, (2) Identification and estimation of biomass with carbon stocks, (3) Modeling of mangrove carbon stock using drone and field data. The results of mangrove carbon estimation using logarithmic regression of drone images were the best, by the equation y = 0.0455ln (x) + 0.244. Therefore, the results showed that the R2 value was 0.7454, with the RMSE accuracy-test being 689.9 kg, at 35.4%.Keywords:DronesMangroveCarbon stock
Estimation of mangrove carbon using drone images Firman Farid Muhsoni; Indah Wahyuni Abida; Dyah Ayu Sulistyo Rini; Aditya Januar Putera
Depik Vol 10, No 1 (2021): April 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.10.1.19313

Abstract

Mangrove has numerous ecological functions, such as a habitat for various biota, a place of care and rearing, with a microclimate regulator and spawning. This ecosystem can store the highest carbon compared to tropical, subtropical, and boreal forests. This research aimed to model the estimation of mangrove carbon stocks using drone images. The method used consists of several steps as follows: (1) Taking and analyzing drone images, (2) Identification and estimation of biomass with carbon stocks, (3) Modeling of mangrove carbon stock using drone and field data. The results of mangrove carbon estimation using logarithmic regression of drone images were the best, by the equation y = 0.0455ln (x) + 0.244. Therefore, the results showed that the R2 value was 0.7454, with the RMSE accuracy-test being 689.9 kg, at 35.4%.Keywords:DronesMangroveCarbon stock
Co-Authors Aditya Januar Putera Firman Farid Muhsoni Indah Wahyuni Abida Zainul Hidayah